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abstract

From Design to Implementation - Algorithm Conversion and Transition to a Mobile Platform for an Artificial Pancreas

Published: 26 September 2019 Publication History

Abstract

An artificial pancreas system is implemented as a mobile application which connects a glucose sensor, an insulin pump and wearable physical activity sensors. It automatically delivers the optimal insulin amounts, based on a multivariable control algorithm. The algorithm, previously tested on a laptop, is to be hosted on a smartphone. This requires a fast, reliable method to translate the inherent functions. Validation tests of the new mobile application confirm there are no deviations from the original code.

References

[1]
Iman Hajizadeh, Mudassir Rashid, Sediqeh Samadi, Mert Sevil, Nicole Hobbs, Rachel Brandt, and Ali Cinar. 2019. Adaptive personalized multivariable artificial pancreas using plasma insulin estimates. Journal of Process Control, Vol. 80 (2019).
[2]
Mert Sevil, Mudassir Rashid, Zachary Maloney, Sediqeh Samadi, Caterina Lazaro, Nichole Hobbs, Iman Hajizadeh, Jianyuan Feng, Rachel Brandt, and Ali Cinar. [n.d.]. Real-Time Estimation of Energy Expenditure using Noninvasive Wearable Sensors for Multivariable Artificial Pancreas System.
[3]
Kamuran Turksoy, Lauretta T Quinn, Elizabeth Littlejohn, and Ali Cinar. 2014. An integrated multivariable artificial pancreas control system. Journal of diabetes science and technology, Vol. 8, 3 (2014), 498--507.

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Published In

cover image ACM Conferences
SIGITE '19: Proceedings of the 20th Annual SIG Conference on Information Technology Education
September 2019
206 pages
ISBN:9781450369213
DOI:10.1145/3349266
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 September 2019

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Author Tags

  1. android
  2. artificial pancreas
  3. code conversion
  4. wearable sensors

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SIGITE '19
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SIGITE '19 Paper Acceptance Rate 23 of 57 submissions, 40%;
Overall Acceptance Rate 176 of 429 submissions, 41%

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